ELiRF-UPV at SemEval-2018 Task 11: Machine Comprehension using Commonsense Knowledge
暂无分享,去创建一个
[1] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[2] Kuldip K. Paliwal,et al. Bidirectional recurrent neural networks , 1997, IEEE Trans. Signal Process..
[3] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[4] Ali Farhadi,et al. Bidirectional Attention Flow for Machine Comprehension , 2016, ICLR.
[5] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[6] Catherine Havasi,et al. ConceptNet 5.5: An Open Multilingual Graph of General Knowledge , 2016, AAAI.
[7] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..
[8] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[9] Yang Yu,et al. Empirical Study on Deep Learning Models for QA , 2015, 1510.07526.
[10] Robyn Speer,et al. ConceptNet at SemEval-2017 Task 2: Extending Word Embeddings with Multilingual Relational Knowledge , 2017, *SEMEVAL.